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冠状动脉迂曲对冠状动脉压力的影响:数值模拟研究。

Impact of coronary tortuosity on coronary pressure: numerical simulation study.

机构信息

Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.

出版信息

PLoS One. 2012;7(8):e42558. doi: 10.1371/journal.pone.0042558. Epub 2012 Aug 14.

Abstract

BACKGROUND

Coronary tortuosity (CT) is a common coronary angiographic finding. Whether CT leads to an apparent reduction in coronary pressure distal to the tortuous segment of the coronary artery is still unknown. The purpose of this study is to determine the impact of CT on coronary pressure distribution by numerical simulation.

METHODS

21 idealized models were created to investigate the influence of coronary tortuosity angle (CTA) and coronary tortuosity number (CTN) on coronary pressure distribution. A 2D incompressible Newtonian flow was assumed and the computational simulation was performed using finite volume method. CTA of 30°, 60°, 90°, 120° and CTN of 0, 1, 2, 3, 4, 5 were discussed under both steady and pulsatile conditions, and the changes of outlet pressure and inlet velocity during the cardiac cycle were considered.

RESULTS

Coronary pressure distribution was affected both by CTA and CTN. We found that the pressure drop between the start and the end of the CT segment decreased with CTA, and the length of the CT segment also declined with CTA. An increase in CTN resulted in an increase in the pressure drop.

CONCLUSIONS

Compared to no-CT, CT can results in more decrease of coronary blood pressure in dependence on the severity of tortuosity and severe CT may cause myocardial ischemia.

摘要

背景

冠状动脉迂曲(CT)是一种常见的冠状动脉造影表现。冠状动脉迂曲段远端的冠状动脉压力是否明显降低仍不清楚。本研究旨在通过数值模拟确定 CT 对冠状动脉压力分布的影响。

方法

建立了 21 个理想化模型,以研究冠状动脉迂曲角(CTA)和冠状动脉迂曲数(CTN)对冠状动脉压力分布的影响。假设二维不可压缩牛顿流,使用有限体积法进行计算模拟。在稳态和脉动条件下讨论了 CTA 为 30°、60°、90°、120°和 CTN 为 0、1、2、3、4、5 的情况,并考虑了心脏周期内出口压力和入口速度的变化。

结果

冠状动脉压力分布受到 CTA 和 CTN 的双重影响。我们发现,CT 段起始端和末端之间的压降随 CTA 降低,CT 段的长度也随 CTA 降低。CTN 的增加会导致压降增加。

结论

与无 CT 相比,CT 可导致冠状动脉血压下降更多,这取决于迂曲的严重程度,严重的 CT 可能导致心肌缺血。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9c3/3419180/32f5759d622c/pone.0042558.g001.jpg

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